
Gary Wolf
Co-founder of Quantified Self, a community focused on self-tracking and self-research using data-driven methods. He has a background in journalism and writing about technology's cultural impact.
Top 3 podcasts with Gary Wolf
Ranked by the Snipd community

5 snips
Dec 31, 2022 • 56min
#119 Data-Driven Thinking for the Everyday Life
Gary Wolf, Co-founder of Quantified Self, discusses the transformative power of data-driven thinking for personal growth. He explores how self-tracking can lead to meaningful life changes, from health insights to career advancement. Wolf shares the journey of building the Quantified Self community and emphasizes the importance of framing the right questions for effective self-tracking. He also highlights the role of trust in personal data projects and offers methods for connecting with others in the self-tracking space.

Oct 18, 2023 • 52min
Gary Wolf: Personal Science, the Quantified Self, and Artificial Intelligence
Gary Wolf, founder of the Quantified Self and director of the Article 27 Foundation, discusses the transformative power of personal science and self-tracking. He delves into how the Quantified Self movement encourages individuals to harness their data for better health insights. Wolf highlights the role of participant-led research in bridging the gap between clinical and public health, and explores the implications of artificial intelligence in advancing personal health decisions. His views on smart wearables and community engagement add a compelling angle to understanding our health in the digital age.

May 1, 2017 • 32min
a16z Podcast: On Wearables, Quantified Self, and Biohacking
Rachel Kalmar, a neuroscientist and wearable tech expert, joins Gary Wolf, co-founder of the Quantified Self movement, and Geoffrey Woo, biohacking innovator, to discuss the evolution of health wearables. They explore how emerging technologies like VR and continuous glucose monitors are revolutionizing self-tracking and personalized healthcare. The conversation highlights the challenges of data interpretation and user adoption, while also pondering the societal implications of a more quantified lifestyle and the potential shift towards mainstream acceptance of biohacking.